Related skills
full-stack azure aws gcp machine learning📋 Description
- Lead AI platform strategy, roadmap, and opportunities.
- Architect and build a scalable AI platform and agents.
- Own AI initiatives from ideation to deployment and support.
- Mentor engineers, promote AI best practices, collaborate with teams.
- Ensure reliability, observability, and secure CI/CD pipelines.
- Collaborate with support and product teams on feedback.
🎯 Requirements
- 6-8+ years in software engineering with platform focus.
- Deep expertise in AI: design, build, deploy ML models.
- Platform Engineering: building reusable services, APIs, and infra.
- Full-Stack Proficiency: end-to-end SDLC experience.
- Agent-Based Systems: hands-on with intelligent agents.
- Cloud/DevOps: AWS, GCP, Azure; CI/CD; IaC; observability.
- Strong communication to influence tech and strategy.
- Problem-Solving: pragmatic, innovative, and adaptable.
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